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Journals
Archaeology International
Architecture_MPS
Europe and the World: A law review
Film Education Journal
History Education Research Journal
International Journal of Development Education and Global Learning
International Journal of Social Pedagogy
Jewish Historical Studies: A Journal of English-Speaking Jewry
Journal of Bentham Studies
London Review of Education
Radical Americas
Research for All
The Journal of the Sylvia Townsend Warner Society
The London Journal of Canadian Studies
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About UCL Press
Who we are
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Advances in Information Retrieval
Automatic Vandalism Detection in Wikipedia
other
Author(s):
Martin Potthast
,
Benno Stein
,
Robert Gerling
Publication date
(Print):
2008
Publisher:
Springer Berlin Heidelberg
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He says, she says
Ed Chi
,
Bryan Pendleton
,
Bongwon Suh
…
(2007)
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Studying cooperation and conflict between authors with history flow visualizations
Kushal Dave
,
Fernanda Viégas
,
Martin Wattenberg
(2004)
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Creating, destroying, and restoring value in wikipedia
Reid Priedhorsky
,
Jilin Chen
,
Shyong Lam
…
(2007)
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Author and book information
Book Chapter
Pages
: 663-668
DOI:
10.1007/978-3-540-78646-7_75
SO-VID:
5ab97465-23f8-48ea-8939-2e1580cdea2e
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Book chapters
pp. 16
Here or There
pp. 370
Semi-supervised Document Classification with a Mislabeling Error Model
pp. 414
Computing Information Retrieval Performance Measures Efficiently in the Presence of Tied Scores
pp. 463
Enhancing Relevance Models with Adaptive Passage Retrieval
pp. 490
Semantic Relationships in Multi-modal Graphs for Automatic Image Annotation
pp. 52
Effective Pre-retrieval Query Performance Prediction Using Similarity and Variability Evidence
pp. 591
Investigating the Effectiveness of Clickthrough Data for Document Reordering
pp. 652
Exploiting Session Context for Information Retrieval - A Comparative Study
pp. 522
A Wikipedia-Based Multilingual Retrieval Model
pp. 663
Automatic Vandalism Detection in Wikipedia
pp. 689
Using Coherence-Based Measures to Predict Query Difficulty
pp. 705
The Impact of Named Entity Normalization on Information Retrieval for Question Answering
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